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All 5 modules verified — no broken links found: - Extractor: ✅ full chain (3 new e2e tests) - Reflection: ✅ full cycle (2 new tests) - Heartbeat: ✅ 10 commands, 5 real checks - Compaction: ✅ middleware chain + memory flush - VikingInject: ✅ middleware chain, auto-inject Minor issues noted: dual extraction path, dual reflection counter. Chunk 1 complete — ready for Chunk 2/3/4.
59 lines
3.3 KiB
Markdown
59 lines
3.3 KiB
Markdown
# OpenViking 模块端到端验证报告
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Chunk 1 — 2026-04-07
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## 模块状态总览
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| 模块 | 状态 | Tauri 命令 | 前端触发 | 持久化 | 测试 |
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|------|------|-----------|---------|--------|------|
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| Extractor | ✅ running | 2 已注册 | streamStore 对话后触发 ✅ | SqliteStorage ✅ | 3 e2e + 2 unit |
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| Reflection | ✅ running | 6 已注册 | streamStore + hooks ✅ | VikingStorage ✅ | 4 (2 new) |
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| Heartbeat | ✅ running | 10 已注册 | saasStore 登录后触发 ✅ | VikingStorage ✅ | 2 unit |
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| Compaction | ✅ running | 4 已注册 | Middleware chain (priority 100) | VikingStorage ✅ | 4 unit |
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| VikingInject | ✅ running | 1 已注册 | Middleware chain (priority 150) | VikingStorage ✅ | 覆盖于 growth tests |
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## 详细发现
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### Extractor (记忆提取)
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- **链路**: streamStore → MemoryExtractor(TS) → extractAndStoreMemories → Tauri → Rust SessionExtractor → SqliteStorage
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- **前端**: 有完整的 LLM + 规则提取，支持中文模式
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- **Rust**: 有 LLM + 规则提取，但规则仅支持英文模式
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- **注意**: 存在双重提取（TS MemoryExtractor 和 Rust SessionExtractor 各提取一次），功能正常但有性能浪费
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- **新测试**: `extract_and_store_creates_memories`, `extract_preference_from_conversation`, `no_extraction_without_llm_driver`
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### Reflection (反思进化)
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- **链路**: streamStore → intelligenceClient.reflection → Tauri → ReflectionEngine; 同时 intelligence_hooks → ReflectionEngine
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- **LLM 分析**: 支持，带规则回退
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- **持久化**: state + result + history 全部存储到 VikingStorage
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- **注意**: 前端和后端都调用 record_conversation()，导致双重计数
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- **新测试**: `test_reflection_cycle_full`, `test_reflection_generates_identity_proposals`
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### Heartbeat (心跳检查)
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- **链路**: saasStore login → deviceHeartbeat; 同时 intelligence_hooks → record_interaction
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- **内置检查**: check_pending_tasks, check_memory_health, check_idle_greeting, check_personality_improvement, check_learning_opportunities — 全部有真实实现
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- **配置**: 默认 30 分钟间隔，静默时段 22:00-08:00
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- **注意**: Tauri 命令 `heartbeat_start` 通过 saasStore 登录后调用，不是 app init 时自动启动
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### Compaction (对话压缩)
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- **链路**: CompactionMiddleware (priority 100) 在 create_middleware_chain 中注册
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- **Memory Flush**: `flush_old_messages_to_memory` 在压缩前将用户/助手消息存储到 VikingStorage
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- **摘要**: 规则提取（主题 + 结论 + 技术上下文），支持 LLM 增强
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- **阈值**: soft 15k tokens, hard 20k tokens
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### VikingInject (记忆注入)
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- **链路**: MemoryMiddleware (priority 150) 在 create_middleware_chain 中注册
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- **注入流程**: before_completion → viking_find → 格式化记忆 → 注入 system prompt
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- **Tauri 命令**: `viking_inject_prompt` 已注册但前端未直接调用（middleware 自动处理）
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- **测试**: zclaw-growth 78 个测试全通过
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## 结论
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**所有 5 个模块端到端链路完整，功能正常。** 无断链。
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建议优化（非阻塞）:
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1. Extractor 双重提取 — 合并为单次提取路径
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2. Reflection 双重计数 — 统一为单一触发路径
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3. Heartbeat 自动启动 — 考虑在 app init 时启动而非仅在 saasStore 登录后
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**Chunk 1 验证通过，可以进入 Chunk 2/3/4。**
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